Here, the conventional attentional NMT [1]}, [2]} and Simple Fusion models (PostNorm, PreNorm) were prepared as baseline methods for comparison with the proposed Dynamic Fusion model.
We performed English-to-Japanese translation.
Using this, the translation performance of the proposed model was evaluated by taking the average of two runs with BLEU [3]} and Rank-based Intuitive Bilingual Evaluation Score (RIBES) [4]}.
In addition, a significant difference test was performed using Travatar http://www.phontron.com/travatar/evaluation.html with 10,000 bootstrap resampling.
We performed an additional experiment on Japanese-to-English translation.
The details of the setting are the same as in English-to-Japanese translation, except that we only conducted the experiment once and did not perform a statistical significance test.
